gnu: Add r-longdat.
* gnu/packages/cran.scm (r-longdat): New variable.
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@ -17847,6 +17847,48 @@ hierarchic loggers, multiple handlers per logger, level based filtering, space
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handling in messages and custom formatting.")
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handling in messages and custom formatting.")
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(license license:gpl3)))
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(license license:gpl3)))
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(define-public r-longdat
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(package
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(name "r-longdat")
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(version "1.1.0")
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(source (origin
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(method url-fetch)
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(uri (cran-uri "LongDat" version))
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(sha256
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(base32
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"1sqfmdv5agyvlw1y3yiv8kxi1040gq75qj4ln1jgb9lsmhdlfpyd"))))
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(properties `((upstream-name . "LongDat")))
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(build-system r-build-system)
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(propagated-inputs (list r-bestnormalize
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r-car
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r-dplyr
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r-effsize
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r-emmeans
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r-ggplot2
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r-glmmtmb
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r-lme4
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r-magrittr
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r-mass
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r-patchwork
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r-reshape2
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r-rlang
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r-rstatix
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r-stringr
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r-tibble
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r-tidyr))
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(native-inputs (list r-knitr))
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(home-page "https://github.com/CCY-dev/LongDat")
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(synopsis
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"Tool for covariate-sensitive longitudinal analysis on omics data")
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(description
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"This tool takes longitudinal dataset as input and analyzes if there is
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significant change of the features over time (a proxy for treatments), while
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detects and controls for covariates simultaneously. LongDat is able to take
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in several data types as input, including count, proportion, binary, ordinal
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and continuous data. The output table contains p values, effect sizes and
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covariates of each feature, making the downstream analysis easy.")
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(license license:gpl2)))
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(define-public r-longitudinal
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(define-public r-longitudinal
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(package
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(package
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(name "r-longitudinal")
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(name "r-longitudinal")
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